Tokyo, Japan, March 7-10, 2018, SIAM Conference on Parallel Processing and Scientific Computing
Lawrence, Kansas, April 14-15, 2018, Midwest Numerical Analysis Day
Talk from February 2015 shows me explaining some of the fundamental ideas from my research, will upload more recent talks shortly.
My name is Jimmy Vogel. I am a graduate student at Purdue University, pursuing a PhD in Applied Mathematics. My PhD advisor is Prof. Jianlin Xia. I do research in Numerical Linear Algebra (NLA); more on my research can be found in my research statement below. Before coming to Purdue, I studied Physics at the University of Michigan. Go Blue! I love doing research in NLA, and after graduation I hope to get a post-doc doing similar work and to have a long career doing applied mathematics research. When I am not working on my research, I love playing/watching sports (especially soccer, basketball, and table tennis), playing/listening-to classical music, and eating chocolate cake. I was born in San Diego, California, USA, but spent the majority of my childhood in St. Paul, Minnesota, USA, and Minnesota will always be home to me.
I am fascinated by all disciplines of Numerical Linear Algebra (NLA) that I have encountered thus far, but my favorite area is eigenvalue algorithms and my current research focus is eigenvalue algorithms for rank-structured matrices and their applications. In addition to Prof. Xia, I also work closely with Prof. Venkataramanan Balakrishnan of Purdue Electrical Engineering on the applications of structured matrix algorithms to optimization problems. I am also currently working on applications of my work to electromagnetic scattering theory, kinetic simulation, statistics, and structural mechanics. In addition to algorithmic work and applications, I have recently done much analytical complexity, accuracy, and stability analysis on the structured eigenvalue problem. Soon I will work to develop high-performance massively parallel implementations of my algorithms for modern computer architectures.